Evidence map›Paper›PMID 35848558›Full record

ArticleHealthcare policy = Politiques de sante2022

Forecasting Staffing Needs for Ontario's Long-Term Care Sector.

Adrian Rohit Dass, Raisa Deber, Audrey Laporte

Abstract read
In one paragraph

Article in Healthcare policy = Politiques de sante, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Navigating Workforce Challenges in Long-Term Care: A Co-Design Approach to Solutions.International journal of environmental research and public health · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. COVID-19 and Long-Term Care: What Have We Learned?Healthcare policy = Politiques de sante · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Adrian Rohit DassResearch Coordinator, Institute of Health Policy, Management and Evaluation, Canadian Centre for Health Economics, University of Toronto, Toronto, ON.
Raisa DeberProfessor, Institute of Health Policy, Management and Evaluation, Canadian Centre for Health Economics, University of Toronto, Toronto, ON.
Audrey LaporteProfessor, Institute of Health Policy, Management and Evaluation, Canadian Centre for Health Economics, University of Toronto, Toronto, ON.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a forecasting model for personal support workers (PSWs) and nurses (registered nurses [RNs] and registered practical nurses [RPNs]) for Ontario's long-term care (LTC) sector. In the base-case scenario, the model projects a shortfall in the supply of full-time equivalent (FTE) workers required to meet the expected demand for care for all workers by 2035, which would require an estimated increase of 11,632 FTE PSWs, 6,031 FTE RNs and 10,178 FTE RPNs entering the market by 2035. The results of this paper may have important implications for health human resources policy planning in Ontario's LTC sector.

Indexed as

Health WorkforceLong-Term CareForecastingHumansOntarioWorkforce

Identifiers

PMID35848558
PMCPMC9346590

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.